SEARCH

SEARCH BY CITATION

Keywords:

  • Bayesian methods;
  • Hazard regression;
  • Multivariate adaptive regression splines;
  • Reversible jump Markov chain Monte Carlo;
  • Stochastic search

Summary. A Bayesian multivariate adaptive regression spline fitting approach is used to model univariate and multivariate survival data with censoring. The possible models contain the proportional hazards model as a subclass and automatically detect departures from this. A reversible jump Markov chain Monte Carlo algorithm is described to obtain the estimate of the hazard function as well as the survival curve.